Urban floods generated by heavy and short-duration rainfall are a major concern in urban areas due to their potential socioeconomic impacts and threat to life. Moreover, such threats are expected to continue with increasing ...
Deep Learning (DL) has achieved superior performance than human in complex cognitive tasks like vision, speech, language, medical, games, etc. With the ever-increasing market demands, DL applications and the underlying ...
Information hiding refers to embedding additional digital data in cover objects–e.g.
audio, image or video signals–by modifying the cover objects. Information hiding techniques
have been used in a variety of application ...
Internet streaming services are very popular today. According to Cisco, video traffic accounts for more than 51% total Internet traffic. With the pervasive adoption of various mobile devices in practice in the past several ...
Autonomous Underwater Vehicles (AUVs) are being implemented for a multitude
of military and commercial applications, as well as scientific research and surveying.
Because of the environment that these vehicles are tasked ...
In the real world, the crystalline states are exceptions rather than the rule. Disorder exists in varying forms and degrees, ranging from a few impurities or voids in otherwise perfect crystals to the strongly disordered ...
Major transit infrastructure disruptions have become more frequent due to increasing maintenance needs for an aging infrastructure, system failures, and disasters. Understanding travel behavior reactions to service disruptions ...
We propose complexity efficient tree search approaches to detection and estimation
problems, and we consider both communication and target tracking applications in this
regard. We formulate the problems of interest using ...
The demand for reducing the weight-to-stiffness and strength ratios of solid reinforced concrete slabs, while improving their span limit, has led to the emergence of spherically voided biaxial slab (SVBS) systems. However, ...
As the size of Complementary Metal Oxide Semiconductor (CMOS) field effect transistor (FET) approaches its fundamental physical limit, two-dimensional (2D) layered structures, such as transitional metal dichalcogenides ...
The development of new robust optimization models is motivated by the need for risk-based decision making in health care operations. Surgery scheduling has attracted a great deal of attention due to its importance in health ...
A novel solid-state microwave annealing technique is developed in this work for
post-implantation annealing of SiC and GaN, and for the controlled growth of SiC
nanowires. This technique is capable of heating SiC samples ...
Electrical muscle stimulation (EMS) can restore or increase function in skeletal muscle by stimulating motor neurons through adhesive skin electrodes, which can greatly increase the quality of life for those suffering from ...
Ultrasonic inspection as a non-destructive technique is used to inspect various materials for subsurface defects caused by air, cracks, material variation etc. Sometimes particles are added to clean materials to improve ...
Social networks are defined by relationships between people and permeate all aspects of human life. Improving our understanding of the structure and dynamics of networks enhances our knowledge of many human systems. In ...
Distributed Denial of Service (DDoS) attacks are becoming a commoditized service operated by profit-motivated adversaries. While having control over a large number of compromised hosts was traditionally required for an ...
Field-Programmable Gate Arrays (FPGA) are powerful processing platforms to
support an efficient processing for a diverse range of applications. Recently, High-
Level Synthesis (HLS) tools emerged and shifted the paradigm ...
Butler Lampson once said "All problems in computer science can be solved by another level of indirection." Many tasks in Music Information Retrieval can be approached using indirection in terms of data abstraction. Raw ...
Transfer learning has significantly revolutionized modern machine learning systems by instilling the ability to use the knowledge gained from solving one problem for another. It has also helped to adapt and build models ...